Version: 91.1

\[\\[.0005in]\] PARAMETERS OPTIMIZED
X__Minimum.profit.take and X__Stop.loss..close.positions.when.lossing.this.much.percent

BEST PARAMETERS
X__Minimum.profit.take = 0.2
X__Stop.loss..close.positions.when.lossing.this.much.percent = 0.1
Profit account= 212 (per day adjusted to desire% DD )
Activity = 2.53 (Cumulative number of entries in all pairs per week)
Desire DD = 10

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Profit per day standardized to the desire percent dropdown
Exclude pairs that when standardized to DD enter with less than $1,000 and pairs that fail to enter once a week



Capping pairs profit per day standardized to a desire percent dropdown
The figure below is like the one above but capping the profits of all pairs to a traget of 1%, this avoids biasing the summary results of an account when only a handful of pairs yield very large profits. This figure basically trying to provide a sense of the extent to which the strategy is profitable across pairs.



Comparison to prior optimizations of this robot. Double click on the plot to deselect all columns.



Number of pairs that meet 1% profit target



Results for X__Minimum.profit.take = 0.2 and X__Stop.loss..close.positions.when.lossing.this.much.percent = 0.1

Best parameters
Profit nDays MaxDDMoney nLostEntries nEntries nWinTrades PercDD X Y Pair DDAccount DD3Perc MoneyEntryAdjusted ProfitAt3Perc ProfitStan3PercDay PercentDaysActive FailByAmount FailByTimeActive MeetTarget
254 1610.93 432.88 277.25 4 103 53 -0.9 0.2 0.1 GBPUSD 0.9241667 1082.0559 324616.8 17431.1632 40.2678877 0.2379412 No No Yes
450 985.01 430.09 185.65 5 88 39 -0.6 0.2 0.1 USDJPY 0.6188333 1615.9440 484783.2 15917.2098 37.0090209 0.2046083 No No Yes
58 882.31 427.08 214.18 4 67 32 -0.7 0.2 0.1 EURGBP 0.7139333 1400.6910 420207.3 12358.4368 28.9370535 0.1568793 No Yes No
156 972.40 433.35 267.59 7 98 43 -0.9 0.2 0.1 EURUSD 0.8919667 1121.1181 336335.4 10901.7527 25.1569232 0.2261451 No No No
9 1081.29 420.20 325.48 6 115 51 -1.1 0.2 0.1 AUDUSD 1.0849333 921.7156 276514.7 9966.4188 23.7182742 0.2736792 No No No
205 708.73 409.66 263.31 6 101 42 -0.9 0.2 0.1 GBPJPY 0.8777000 1139.3415 341802.4 8074.8547 19.7111134 0.2465459 No No No
303 938.73 399.55 416.66 6 121 50 -1.4 0.2 0.1 NZDUSD 1.3888667 720.0115 216003.5 6758.9641 16.9164414 0.3028407 No No No
107 569.90 403.81 381.51 9 99 39 -1.3 0.2 0.1 EURJPY 1.2717000 786.3490 235904.7 4481.4028 11.0978006 0.2451648 No No No
499 417.18 405.11 545.57 9 142 55 -1.8 0.2 0.1 XAUUSD 1.8185667 549.8836 164965.1 2294.0044 5.6626705 0.3505221 No No No
401 291.65 426.62 562.02 8 87 33 -1.9 0.2 0.1 USDCHF 1.8734000 533.7888 160136.6 1556.7951 3.6491377 0.2039286 No No No
352 16.06 420.86 479.22 8 77 26 -1.6 0.2 0.1 USDCAD 1.5974000 626.0173 187805.2 100.5384 0.2388879 0.1829587 No Yes No

Results by pair

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Results by pair capped to desired 1% profit
This is the same as above, but caps pairs to max desire profit to avoid visual bias by pairs with very lage profits

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Results within desire DD, top 5 with most winning trades, and ranked by Profit per day at desire DD
One is in the search of a unique combination of parameters that can be used across forex pairs; the reality is, however, that they represent countries with vast differences in economic power, which can cause specific patterns within certain pairs, thus, in most likelihoods parameters are specific to each forex pair. Here I show the best results for each pair.

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Default parameters
Parameter Value
3 X__Name.for.robot Karol
4 X__Show.only.entry.triggers true
5 X__Show.only.Exit.triggers 0
6 X__Show.labels.for.type.of.signals 0
7 X__Trading.times 19:45
8 X__Source close
9 X__Cash.each.entry 30 000
10 X__Minimum.profit.take 0.2
11 X__Stop.loss..close.positions.when.lossing.this.much.percent 0.05
12 X__Stochastic.slow.for.direction true
13 X__Stochastic.slow.for.position true
14 X__STOs.Threshold 20
15 X__STOs.TimeFrame 3 hours
16 X__STOs.Length 44
17 X__STOs.Smoothing 16
18 X__Stochastic.fast.for.direction true
19 X__Stochastic.fast.for.position true
20 X__STOf.Threshold 50
21 X__STOf.Timeframe 45 minutes
22 X__STOf.Length 20
23 X__STOf.Smoothing 16
24 X__030.Percentage.Price.Oscillator.for.trigger true
25 X__PPO.Fast.Type Hull_HMA
26 X__PPO.Fast.Length 4
27 X__PPO.Slow.Type SMA
28 X__PPO.Slow.Length 200
29 X__PPO.Threshold 0.06
30 X__PPO.Timeframe 1 minute
31 X__User.SuperTrend.as.exit 0
32 X__Fast.SuperTrend.time.frame 1 minute
33 X__Fast.Super.trend.ATR.Length 10